{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T17:27:30Z","timestamp":1775064450336,"version":"3.50.1"},"reference-count":77,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Key Research and Development Program of the Ministry of Science and Technology","award":["2018YFB0504905"],"award-info":[{"award-number":["2018YFB0504905"]}]},{"name":"High Resolution Earth Observation Systems National Science and Technology Major Projects","award":["GFZX0404120305"],"award-info":[{"award-number":["GFZX0404120305"]}]},{"name":"Civil Aerospace Advance Research Project","award":["D040107"],"award-info":[{"award-number":["D040107"]}]},{"name":"Postdoctoral Innovation Talent Support Program","award":["BX2021222"],"award-info":[{"award-number":["BX2021222"]}]},{"name":"LIESMARS Special Research Funding"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/jstars.2022.3209541","type":"journal-article","created":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T20:40:34Z","timestamp":1664224834000},"page":"8552-8566","source":"Crossref","is-referenced-by-count":13,"title":["AOSVSSNet: Attention-Guided Optical Satellite Video Smoke Segmentation Network"],"prefix":"10.1109","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6014-5354","authenticated-orcid":false,"given":"Taoyang","family":"Wang","sequence":"first","affiliation":[{"name":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4059-7131","authenticated-orcid":false,"given":"Jianzhi","family":"Hong","sequence":"additional","affiliation":[{"name":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7905-0163","authenticated-orcid":false,"given":"Yuqi","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3987-5336","authenticated-orcid":false,"given":"Guo","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7691-0033","authenticated-orcid":false,"given":"Shili","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"}]},{"given":"Tiancheng","family":"Dong","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"}]},{"given":"Yapeng","family":"Yang","sequence":"additional","affiliation":[{"name":"Navy Research Institute, People's Liberation Army, Beijing, China"}]},{"given":"Hang","family":"Ruan","sequence":"additional","affiliation":[{"name":"Beijing Institute of Tracking and Telecommunications Technology, Beijing, China"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_1"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.41"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2598681"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/2945.468400"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref77","article-title":"MobileNets: Effcient convolutional neural networks for mobile vision applications","author":"howard","year":"2017"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00069"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s10694-017-0665-z"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00326"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2747399"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2022.3175771"},{"key":"ref32","first-page":"5485","article-title":"Fast video fire detection using luminous smoke and textured flame features","volume":"10","author":"ince","year":"2016","journal-title":"KSII Trans Internet Inf Syst"},{"key":"ref31","first-page":"880","article-title":"Remove of fix interference based on machine learning in smoke detection","volume":"23","author":"liu","year":"2015","journal-title":"Comput Meas Control"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s10694-014-0453-y"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICIICII.2016.0045"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3079294"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/s17102303"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2878958"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.firesaf.2019.03.004"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3069318"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2946126"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2889193"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2919755"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.64"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-04117-9_27"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.480"},{"key":"ref66","first-page":"3664","article-title":"FusionSeg: Learning to combine motion and appearance for fully automatic segmentation of generic objects in videos","author":"dutt jain","year":"2017","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2897139"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_44"},{"key":"ref68","first-page":"2228","article-title":"Zero-shot video object segmentation with co-attention Siamese networks","volume":"44","author":"lu","year":"2022","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00933"},{"key":"ref2","first-page":"303","article-title":"Video smoke detection: A literature survey","volume":"23","author":"shi","year":"2018","journal-title":"Chinese J Image Graph"},{"key":"ref1","article-title":"Image smoke semantic segmentation based on deep learning","author":"zhang","year":"2020"},{"key":"ref20","first-page":"772","article-title":"Image based smoke detection using pyramid texture and edge features","volume":"20","author":"li","year":"2015","journal-title":"Chinese J Image Graph"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s10694-016-0580-8"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2697408"},{"key":"ref24","first-page":"203","article-title":"Smoke detection based on Surfacelet transform and dynamic texture","volume":"41","author":"ye","year":"2015","journal-title":"Comput Eng"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.firesaf.2015.03.001"},{"key":"ref26","first-page":"251","article-title":"Smoke detection in video based on color histogram and wavelets","volume":"41","author":"sun","year":"2014","journal-title":"Comput Sci"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1134\/S1054661817010138"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3390\/rs14010045"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1117\/12.2532562"},{"key":"ref59","first-page":"801","article-title":"Encoder-decoder with atrous separable convolution for semantic image segmentation","author":"chen","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref58","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"chen","year":"2017"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref56","article-title":"Semantic image segmentation with deep convolutional nets and fully connected CRFs","author":"chen","year":"2014"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref53","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervention"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref10","first-page":"427","article-title":"The smoke detection for early fire-alarming system based on video processing","author":"chen","year":"2006","journal-title":"Proc Int Conf Intell Inform Hiding Multimedia"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2527340"},{"key":"ref40","first-page":"6018","article-title":"A video smoke detection algorithm based on cascade classification and deep learning","volume":"12","author":"nguyen","year":"2018","journal-title":"KSII Trans Internet Inf Syst"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2015.05.082"},{"key":"ref13","first-page":"97","article-title":"Early fire smoke detection based on multi-feature fusion","volume":"40","author":"wang","year":"2014","journal-title":"Journal of Dalian Maritime University Natural Science"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.4304\/jcp.8.12.3264-3271"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2905984"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2886580"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/rs14040973"},{"key":"ref18","first-page":"1230","article-title":"Smoke detection based on computer vision in coal mine","volume":"35","author":"wang","year":"2016","journal-title":"J Liaoning Univ Eng Technol Natural Sci Ed"},{"key":"ref19","first-page":"251","article-title":"Smoke detection method in video based on image separation","volume":"41","author":"dong","year":"2015","journal-title":"Comput Eng"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3016820"},{"key":"ref3","first-page":"1627","article-title":"From traditional methods to deep ones: Review of visual smoke recognition, detection, and segmentation","volume":"24","author":"xia","year":"2019","journal-title":"Chinese J Image Graph"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/rs14092266"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3144513"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3015157"},{"key":"ref7","article-title":"A scale-aware pyramid network for multi-scale object detection in SAR images","volume":"14","author":"tang","year":"2022","journal-title":"Remote Sens"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.3389\/fenvs.2022.794028"},{"key":"ref9","doi-asserted-by":"crossref","DOI":"10.1109\/TGRS.2021.3130716","article-title":"SpectralFormer: Rethinking hyperspectral image classification with transformers","volume":"60","author":"hong","year":"2022","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3124913"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.05.011"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.3390\/rs11141702"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.05.011"},{"key":"ref42","article-title":"Computer vision and pattern recognition laboratory","year":"0"},{"key":"ref41","article-title":"Computer vision based fire detection software","year":"0"},{"key":"ref44","article-title":"State key laboratory of fire science","year":"0"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/SIBGRAPI.2015.19"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/9656571\/09903300.pdf?arnumber=9903300","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,20]],"date-time":"2023-01-20T18:47:04Z","timestamp":1674240424000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9903300\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":77,"URL":"https:\/\/doi.org\/10.1109\/jstars.2022.3209541","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}